Christian Napoli

2.5k total citations
128 papers, 1.4k citations indexed

About

Christian Napoli is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Christian Napoli has authored 128 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 30 papers in Computer Vision and Pattern Recognition and 20 papers in Electrical and Electronic Engineering. Recurrent topics in Christian Napoli's work include Neural Networks and Applications (9 papers), Energy Load and Power Forecasting (9 papers) and Image and Signal Denoising Methods (8 papers). Christian Napoli is often cited by papers focused on Neural Networks and Applications (9 papers), Energy Load and Power Forecasting (9 papers) and Image and Signal Denoising Methods (8 papers). Christian Napoli collaborates with scholars based in Italy, Poland and Algeria. Christian Napoli's co-authors include Giacomo Capizzi, F. Bonanno, Grazia Lo Sciuto, Marcin Woźniak, Emiliano Tramontana, Giuseppe Marco Tina, Giorgio Graditi, Francesco Beritelli, Giuseppe Pappalardo and Dawid Połap and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Energy and International Journal of Heat and Mass Transfer.

In The Last Decade

Christian Napoli

114 papers receiving 1.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Christian Napoli Italy 19 523 416 217 177 145 128 1.4k
Giacomo Capizzi Italy 20 442 0.8× 522 1.3× 252 1.2× 141 0.8× 143 1.0× 85 1.4k
Simon Y. Foo United States 20 469 0.9× 418 1.0× 63 0.3× 166 0.9× 114 0.8× 86 1.4k
Carlos Baladrón Spain 19 349 0.7× 1.1k 2.6× 84 0.4× 203 1.1× 255 1.8× 67 1.7k
Ke-Lin Du Canada 18 557 1.1× 411 1.0× 36 0.2× 205 1.2× 227 1.6× 53 1.9k
Lin Li China 27 531 1.0× 572 1.4× 72 0.3× 288 1.6× 563 3.9× 202 2.3k
Engin Avcı Türkiye 29 861 1.6× 157 0.4× 114 0.5× 800 4.5× 169 1.2× 90 2.4k
Sanghyuk Lee South Korea 24 154 0.3× 630 1.5× 63 0.3× 117 0.7× 236 1.6× 236 2.2k
Talal Bonny United Arab Emirates 18 308 0.6× 173 0.4× 44 0.2× 425 2.4× 55 0.4× 116 1.2k
Pingping Zhu United States 18 361 0.7× 161 0.4× 67 0.3× 261 1.5× 214 1.5× 59 1.3k
Tian Zhang China 17 419 0.8× 426 1.0× 64 0.3× 285 1.6× 162 1.1× 110 1.5k

Countries citing papers authored by Christian Napoli

Since Specialization
Citations

This map shows the geographic impact of Christian Napoli's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Christian Napoli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christian Napoli more than expected).

Fields of papers citing papers by Christian Napoli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christian Napoli. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Christian Napoli. The network helps show where Christian Napoli may publish in the future.

Co-authorship network of co-authors of Christian Napoli

This figure shows the co-authorship network connecting the top 25 collaborators of Christian Napoli. A scholar is included among the top collaborators of Christian Napoli based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Christian Napoli. Christian Napoli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Zimatore, Giovanna, et al.. (2025). HRV in Stress Monitoring by AI: A Scoping Review. Applied Sciences. 16(1). 23–23.
4.
Scherer, Rafał, et al.. (2025). Real-time detection and classification of active regions from solar images using sector-based hashing. Journal of Computational Science. 89. 102604–102604.
5.
Randieri, C., et al.. (2025). CNN-Based Framework for Classifying COVID-19, Pneumonia, and Normal Chest X-Rays. Big Data and Cognitive Computing. 9(7). 186–186. 5 indexed citations
6.
Napoli, Christian, et al.. (2025). Current trends and future directions in eye tracking technology: A literature review. Engineering Applications of Artificial Intelligence. 163. 112908–112908.
7.
8.
Bechouat, Mohcene, et al.. (2024). Hybrid models for direct normal irradiance forecasting: a case study of Ghardaia zone (Algeria). Natural Hazards. 120(15). 14703–14725. 13 indexed citations
9.
Pompeo, Fabio Santanelli di, Mark W. Clemens, Demosthenes B. Panagiotakos, et al.. (2024). D15. Risk Factors Associated With BIA-ALCL Development: A Case Control Study. Plastic & Reconstructive Surgery Global Open. 12(S5). 75–76. 1 indexed citations
10.
Dilaghi, Emanuele, C. Voena, S. Giagu, et al.. (2024). A pre-training model for intestinal metaplasia recognition in the gastric corpus: preliminary data analysis. Endoscopy. 56(S 02). S58–S58. 1 indexed citations
11.
Napoli, Christian, et al.. (2024). Solution of Inverse Problem for Diffusion Equation with Fractional Derivatives Using Metaheuristic Optimization Algorithm. Informatica. 453–481. 1 indexed citations
12.
Nicoletti, Lorenzo, et al.. (2023). Convergent Approaches to AI Explainability for HEP Muonic Particles Pattern Recognition. IRIS Research product catalog (Sapienza University of Rome). 7(1). 2 indexed citations
13.
Scherer, Rafał, et al.. (2022). Semantic Hashing for Fast Solar Magnetogram Retrieval. Journal of Artificial Intelligence and Soft Computing Research. 12(4). 299–306. 3 indexed citations
14.
Napoli, Christian, et al.. (2022). Exploiting Wavelet Recurrent Neural Networks for satellite telemetry data modeling, prediction and control. Expert Systems with Applications. 206. 117831–117831. 12 indexed citations
15.
Sciuto, Grazia Lo, Giacomo Capizzi, Rafi Shikler, & Christian Napoli. (2021). Organic solar cells defects classification by using a new feature extraction algorithm and an EBNN with an innovative pruning algorithm. International Journal of Intelligent Systems. 36(6). 2443–2464. 17 indexed citations
16.
Napoli, Christian, et al.. (2019). Determinación de ingesta de leche materna y evaluación nutricional en infantes alimentados con lactancia materna exclusiva. Nutrición clínica y dietética hospitalaria. 39(2). 120–127. 1 indexed citations
17.
Napoli, Christian, et al.. (2015). Using AOP Neural Networks to Infer User Behaviours and Interests.. 46–52. 3 indexed citations
18.
Napoli, Christian, Giuseppe Pappalardo, & Emiliano Tramontana. (2014). An Agent-driven Semantical Identifier Using Radial Basis Neural Networks and Reinforcement Learning.. IRIS Research product catalog (Sapienza University of Rome). 11 indexed citations
19.
Capizzi, Giacomo, F. Bonanno, & Christian Napoli. (2011). Recurrent neural network-based control strategy for battery energy storage in generation systems with intermittent renewable energy sources. IRIS Research product catalog (Sapienza University of Rome). 336–340. 29 indexed citations
20.
Napoli, Christian, et al.. (2002). Studio pilota sulle abitudini alimentari nelle scuole medie inferiori di Bari. CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro). 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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